Orhan Sonmez

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Interaction with human musicians is a challenging task for robots as it involves online perception and precise synchronization. In this paper, we present a consistent and theoretically sound framework for combining perception and control for accurate musical timing. For the perception, we develop a hierarchical hidden Markov model that combines event(More)
—Reinforcement learning problems are generally solved by using fixed-point iterations that converge to the subop-timal solutions of Bellman equations. However, it is also possible to formalize this problem as an equivalent likelihood maximiza-tion problem and employ probabilistic inference methods. We proposed an expectation-maximization algorithm that(More)
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